GVViZ

GVViZ visualizes disease-associated gene variants and transcript abundances from RNA-seq and next-generation sequencing data to integrate transcriptomics with gene–disease databases and generate heat maps and exportable tables for downstream analysis.

Key Features:

• RNA-seq-driven analysis: Handles RNA-seq-driven variable and complex gene–disease data annotation and expression analysis, producing dynamic heat map visualizations across large feature sets.
• Data integration: Integrates patient transcriptomics with public, proprietary, and in-house gene–disease databases to enable querying and exploration of gene annotation and classified disease phenotypes.
• Visualization capabilities: Visualizes complex datasets for chronic diseases and conditions and exports results as PNF/TIFF images and CSV text files containing gene names, Ensembl IDs, quantified abundances, expressed transcript lengths, and annotated diseases.
• Automated interactive visualization: Provides automated and interactive visualization functionality to support interpretation of transcriptomics data and gene expression patterns.
• High-throughput correlation analysis: Enables high-throughput correlations between patient diagnoses and transcriptomics data for comparative analyses.

Scientific Applications:

• Disease-focused transcriptomics visualization: Visualizes gene expression and variant-associated genes for conditions including Alzheimer's disease, arthritis, asthma, diabetes mellitus, heart failure, hypertension, obesity, osteoporosis, and multiple cancer disorders.
• Clinical correlation and biomarker discovery: Supports early detection of complex disorders and the development of personalized therapies by correlating clinical diagnoses with transcriptomics profiles.
• Gene expression dynamics and regulation: Facilitates study of gene expression dynamics and regulation using RNA-seq datasets.

Methodology:

Processes RNA-seq/next-generation sequencing data, integrates transcriptomics with gene–disease databases, generates dynamic heat map visualizations, supports querying/exploration of gene annotations and disease phenotypes, and exports image (PNF/TIFF) and table (CSV) outputs.